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<start_of_text>Make question answer generation pipeline consisting of transformers reader and QuestionGenerator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'transformers_reader', 'type': 'TransformersReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'transformers_reader'}]}]}<end_of_text> |
<start_of_text>Build question answer generation pipeline consisting of rci reader and question generator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'rci_reader', 'type': 'RCIReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'rci_reader'}]}]}<end_of_text> |
<start_of_text>Build Haystack question answer generation system consisting of farm reader and QuestionGenerator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'farm_reader', 'type': 'FARMReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'farm_reader'}]}]}<end_of_text> |
<start_of_text>Build question answer generation system with table reader and question generator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'table_reader', 'type': 'TableReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'table_reader'}]}]}<end_of_text> |
<start_of_text>Make Haystack faq search pipeline using BM25Retriever and PineconeDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'pinecone_document_store', 'type': 'PineconeDocumentStore', 'params': {}}, {'name': 'bm25_retriever', 'type': 'BM25Retriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'bm25_retriever'}, {'inputs': ['bm25_retriever']}]}]}<end_of_text> |
<start_of_text>Generate Haystack faq pipeline using multihop embedding retriever and ElasticsearchDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'elasticsearch_document_store', 'type': 'ElasticsearchDocumentStore', 'params': {}}, {'name': 'multihop_embedding_retriever', 'type': 'MultihopEmbeddingRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'multihop_embedding_retriever'}, {'inputs': ['multihop_embedding_retriever']}]}]}<end_of_text> |
<start_of_text>Build QuestionGenerationPipeline<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Make document search system using elasticsearch filter only retriever and FAISSDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'faiss_document_store', 'type': 'FAISSDocumentStore', 'params': {}}, {'name': 'elasticsearch_filter_only_retriever', 'type': 'ElasticsearchFilterOnlyRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'elasticsearch_filter_only_retriever'}, {'inputs': ['elasticsearch_filter_only_retriever']}]}]}<end_of_text> |
<start_of_text>Make question generation system<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Build Haystack question answer generation system using table reader and question generator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'table_reader', 'type': 'TableReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'table_reader'}]}]}<end_of_text> |
<start_of_text>Create search summarization consisting of transformers summarizer, BM25Retriever and WeaviateDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'weaviate_document_store', 'type': 'WeaviateDocumentStore', 'params': {}}, {'name': 'bm25_retriever', 'type': 'BM25Retriever', 'params': {}}, {'name': 'transformers_summarizer', 'type': 'TransformersSummarizer', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'bm25_retriever'}, {'inputs': ['bm25_retriever'], 'name': 'transformers_summarizer'}]}]}<end_of_text> |
<start_of_text>Generate question answer generation system consisting of RCIReader and question generator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'rci_reader', 'type': 'RCIReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'rci_reader'}]}]}<end_of_text> |
<start_of_text>Build QuestionGenerationPipeline<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Generate QuestionGenerationPipeline<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Make Haystack document search system using dense passage retriever and open search document store<response>{'version': '1.6.0', 'components': [{'name': 'open_search_document_store', 'type': 'OpenSearchDocumentStore', 'params': {}}, {'name': 'dense_passage_retriever', 'type': 'DensePassageRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'dense_passage_retriever'}, {'inputs': ['dense_passage_retriever']}]}]}<end_of_text> |
<start_of_text>Generate Haystack extractive qa pipeline using TableReader, filter retriever and open distro elasticsearch document store<response>{'version': '1.6.0', 'components': [{'name': 'open_distro_elasticsearch_document_store', 'type': 'OpenDistroElasticsearchDocumentStore', 'params': {}}, {'name': 'filter_retriever', 'type': 'FilterRetriever', 'params': {}}, {'name': 'table_reader', 'type': 'TableReader', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'filter_retriever'}, {'inputs': ['filter_retriever'], 'name': 'table_reader'}]}]}<end_of_text> |
<start_of_text>Make search summarization pipeline with transformers summarizer, MultihopEmbeddingRetriever and open search document store<response>{'version': '1.6.0', 'components': [{'name': 'open_search_document_store', 'type': 'OpenSearchDocumentStore', 'params': {}}, {'name': 'multihop_embedding_retriever', 'type': 'MultihopEmbeddingRetriever', 'params': {}}, {'name': 'transformers_summarizer', 'type': 'TransformersSummarizer', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'multihop_embedding_retriever'}, {'inputs': ['multihop_embedding_retriever'], 'name': 'transformers_summarizer'}]}]}<end_of_text> |
<start_of_text>Generate Haystack generative qa system using seq2 seq generator, TfidfRetriever and FAISSDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'faiss_document_store', 'type': 'FAISSDocumentStore', 'params': {}}, {'name': 'tfidf_retriever', 'type': 'TfidfRetriever', 'params': {}}, {'name': 'seq2_seq_generator', 'type': 'Seq2SeqGenerator', 'params': {}}], 'pipelines': [{'name': 'my_generator_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'tfidf_retriever'}, {'inputs': ['tfidf_retriever'], 'name': 'seq2_seq_generator'}]}]}<end_of_text> |
<start_of_text>Make QuestionAnswerGenerationPipeline consisting of FARMReader and question generator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'farm_reader', 'type': 'FARMReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'farm_reader'}]}]}<end_of_text> |
<start_of_text>Build search pipeline consisting of tfidf retriever and elasticsearch document store<response>{'version': '1.6.0', 'components': [{'name': 'elasticsearch_document_store', 'type': 'ElasticsearchDocumentStore', 'params': {}}, {'name': 'tfidf_retriever', 'type': 'TfidfRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'tfidf_retriever'}, {'inputs': ['tfidf_retriever']}]}]}<end_of_text> |
<start_of_text>Generate Haystack generative pipeline consisting of seq2 seq generator, multihop embedding retriever and elasticsearch document store<response>{'version': '1.6.0', 'components': [{'name': 'elasticsearch_document_store', 'type': 'ElasticsearchDocumentStore', 'params': {}}, {'name': 'multihop_embedding_retriever', 'type': 'MultihopEmbeddingRetriever', 'params': {}}, {'name': 'seq2_seq_generator', 'type': 'Seq2SeqGenerator', 'params': {}}], 'pipelines': [{'name': 'my_generator_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'multihop_embedding_retriever'}, {'inputs': ['multihop_embedding_retriever'], 'name': 'seq2_seq_generator'}]}]}<end_of_text> |
<start_of_text>Make document search system with bm25 retriever and SQLDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'sql_document_store', 'type': 'SQLDocumentStore', 'params': {}}, {'name': 'bm25_retriever', 'type': 'BM25Retriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'bm25_retriever'}, {'inputs': ['bm25_retriever']}]}]}<end_of_text> |
<start_of_text>Create Haystack search summarization system with transformers summarizer, filter retriever and PineconeDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'pinecone_document_store', 'type': 'PineconeDocumentStore', 'params': {}}, {'name': 'filter_retriever', 'type': 'FilterRetriever', 'params': {}}, {'name': 'transformers_summarizer', 'type': 'TransformersSummarizer', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'filter_retriever'}, {'inputs': ['filter_retriever'], 'name': 'transformers_summarizer'}]}]}<end_of_text> |
<start_of_text>Make Haystack question generation pipeline<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Create Haystack generative qa system consisting of RAGenerator, tfidf retriever and in memory document store<response>{'version': '1.6.0', 'components': [{'name': 'in_memory_document_store', 'type': 'InMemoryDocumentStore', 'params': {}}, {'name': 'tfidf_retriever', 'type': 'TfidfRetriever', 'params': {}}, {'name': 'ra_generator', 'type': 'RAGenerator', 'params': {}}], 'pipelines': [{'name': 'my_generator_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'tfidf_retriever'}, {'inputs': ['tfidf_retriever'], 'name': 'ra_generator'}]}]}<end_of_text> |
<start_of_text>Create QuestionGenerationPipeline<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Generate QuestionAnswerGenerationPipeline with farm reader and QuestionGenerator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'farm_reader', 'type': 'FARMReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'farm_reader'}]}]}<end_of_text> |
<start_of_text>Create question answer generation pipeline with TransformersReader and QuestionGenerator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'transformers_reader', 'type': 'TransformersReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'transformers_reader'}]}]}<end_of_text> |
<start_of_text>Make Haystack document search pipeline with MultihopEmbeddingRetriever and deepset cloud document store<response>{'version': '1.6.0', 'components': [{'name': 'deepset_cloud_document_store', 'type': 'DeepsetCloudDocumentStore', 'params': {}}, {'name': 'multihop_embedding_retriever', 'type': 'MultihopEmbeddingRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'multihop_embedding_retriever'}, {'inputs': ['multihop_embedding_retriever']}]}]}<end_of_text> |
<start_of_text>Generate faq system consisting of BM25Retriever and sql document store<response>{'version': '1.6.0', 'components': [{'name': 'sql_document_store', 'type': 'SQLDocumentStore', 'params': {}}, {'name': 'bm25_retriever', 'type': 'BM25Retriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'bm25_retriever'}, {'inputs': ['bm25_retriever']}]}]}<end_of_text> |
<start_of_text>Create question generation pipeline<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Build question answer generation system consisting of transformers reader and question generator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'transformers_reader', 'type': 'TransformersReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'transformers_reader'}]}]}<end_of_text> |
<start_of_text>Build Haystack question generation pipeline<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Generate Haystack DocumentSearchPipeline using table text retriever and FAISSDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'faiss_document_store', 'type': 'FAISSDocumentStore', 'params': {}}, {'name': 'table_text_retriever', 'type': 'TableTextRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'table_text_retriever'}, {'inputs': ['table_text_retriever']}]}]}<end_of_text> |
<start_of_text>Build Haystack question answer generation system using TransformersReader and QuestionGenerator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'transformers_reader', 'type': 'TransformersReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'transformers_reader'}]}]}<end_of_text> |
<start_of_text>Create Haystack question generation system<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Create faq system with MultihopEmbeddingRetriever and ElasticsearchDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'elasticsearch_document_store', 'type': 'ElasticsearchDocumentStore', 'params': {}}, {'name': 'multihop_embedding_retriever', 'type': 'MultihopEmbeddingRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'multihop_embedding_retriever'}, {'inputs': ['multihop_embedding_retriever']}]}]}<end_of_text> |
<start_of_text>Build qa pipeline using transformers reader, BM25Retriever and sql document store<response>{'version': '1.6.0', 'components': [{'name': 'sql_document_store', 'type': 'SQLDocumentStore', 'params': {}}, {'name': 'bm25_retriever', 'type': 'BM25Retriever', 'params': {}}, {'name': 'transformers_reader', 'type': 'TransformersReader', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'bm25_retriever'}, {'inputs': ['bm25_retriever'], 'name': 'transformers_reader'}]}]}<end_of_text> |
<start_of_text>Build Haystack FAQPipeline consisting of BM25Retriever and in memory document store<response>{'version': '1.6.0', 'components': [{'name': 'in_memory_document_store', 'type': 'InMemoryDocumentStore', 'params': {}}, {'name': 'bm25_retriever', 'type': 'BM25Retriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'bm25_retriever'}, {'inputs': ['bm25_retriever']}]}]}<end_of_text> |
<start_of_text>Create question generation pipeline<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Generate search pipeline using tfidf retriever and elasticsearch document store<response>{'version': '1.6.0', 'components': [{'name': 'elasticsearch_document_store', 'type': 'ElasticsearchDocumentStore', 'params': {}}, {'name': 'tfidf_retriever', 'type': 'TfidfRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'tfidf_retriever'}, {'inputs': ['tfidf_retriever']}]}]}<end_of_text> |
<start_of_text>Create Haystack QuestionAnswerGenerationPipeline with TransformersReader and QuestionGenerator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'transformers_reader', 'type': 'TransformersReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'transformers_reader'}]}]}<end_of_text> |
<start_of_text>Generate Haystack QuestionAnswerGenerationPipeline with table reader and QuestionGenerator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'table_reader', 'type': 'TableReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'table_reader'}]}]}<end_of_text> |
<start_of_text>Generate GenerativeQAPipeline consisting of ra generator, TfidfRetriever and in memory document store<response>{'version': '1.6.0', 'components': [{'name': 'in_memory_document_store', 'type': 'InMemoryDocumentStore', 'params': {}}, {'name': 'tfidf_retriever', 'type': 'TfidfRetriever', 'params': {}}, {'name': 'ra_generator', 'type': 'RAGenerator', 'params': {}}], 'pipelines': [{'name': 'my_generator_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'tfidf_retriever'}, {'inputs': ['tfidf_retriever'], 'name': 'ra_generator'}]}]}<end_of_text> |
<start_of_text>Make Haystack QuestionGenerationPipeline<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Create search summarization using transformers summarizer, BM25Retriever and InMemoryDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'in_memory_document_store', 'type': 'InMemoryDocumentStore', 'params': {}}, {'name': 'bm25_retriever', 'type': 'BM25Retriever', 'params': {}}, {'name': 'transformers_summarizer', 'type': 'TransformersSummarizer', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'bm25_retriever'}, {'inputs': ['bm25_retriever'], 'name': 'transformers_summarizer'}]}]}<end_of_text> |
<start_of_text>Build question answer generation pipeline with RCIReader and QuestionGenerator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'rci_reader', 'type': 'RCIReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'rci_reader'}]}]}<end_of_text> |
<start_of_text>Make FAQPipeline with MultihopEmbeddingRetriever and ElasticsearchDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'elasticsearch_document_store', 'type': 'ElasticsearchDocumentStore', 'params': {}}, {'name': 'multihop_embedding_retriever', 'type': 'MultihopEmbeddingRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'multihop_embedding_retriever'}, {'inputs': ['multihop_embedding_retriever']}]}]}<end_of_text> |
<start_of_text>Build QuestionGenerationPipeline<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Generate extractive qa with FARMReader, table text retriever and deepset cloud document store<response>{'version': '1.6.0', 'components': [{'name': 'deepset_cloud_document_store', 'type': 'DeepsetCloudDocumentStore', 'params': {}}, {'name': 'table_text_retriever', 'type': 'TableTextRetriever', 'params': {}}, {'name': 'farm_reader', 'type': 'FARMReader', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'table_text_retriever'}, {'inputs': ['table_text_retriever'], 'name': 'farm_reader'}]}]}<end_of_text> |
<start_of_text>Build Haystack generative qa pipeline consisting of ra generator, tfidf retriever and faiss document store<response>{'version': '1.6.0', 'components': [{'name': 'faiss_document_store', 'type': 'FAISSDocumentStore', 'params': {}}, {'name': 'tfidf_retriever', 'type': 'TfidfRetriever', 'params': {}}, {'name': 'ra_generator', 'type': 'RAGenerator', 'params': {}}], 'pipelines': [{'name': 'my_generator_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'tfidf_retriever'}, {'inputs': ['tfidf_retriever'], 'name': 'ra_generator'}]}]}<end_of_text> |
<start_of_text>Create question answer generation pipeline with FARMReader and question generator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'farm_reader', 'type': 'FARMReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'farm_reader'}]}]}<end_of_text> |
<start_of_text>Build extractive qa with RCIReader, elasticsearch filter only retriever and faiss document store<response>{'version': '1.6.0', 'components': [{'name': 'faiss_document_store', 'type': 'FAISSDocumentStore', 'params': {}}, {'name': 'elasticsearch_filter_only_retriever', 'type': 'ElasticsearchFilterOnlyRetriever', 'params': {}}, {'name': 'rci_reader', 'type': 'RCIReader', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'elasticsearch_filter_only_retriever'}, {'inputs': ['elasticsearch_filter_only_retriever'], 'name': 'rci_reader'}]}]}<end_of_text> |
<start_of_text>Generate Haystack question answer generation system with rci reader and question generator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'rci_reader', 'type': 'RCIReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'rci_reader'}]}]}<end_of_text> |
<start_of_text>Build faq search pipeline consisting of BM25Retriever and InMemoryDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'in_memory_document_store', 'type': 'InMemoryDocumentStore', 'params': {}}, {'name': 'bm25_retriever', 'type': 'BM25Retriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'bm25_retriever'}, {'inputs': ['bm25_retriever']}]}]}<end_of_text> |
<start_of_text>Generate Haystack extractive qa system using TransformersReader, elasticsearch filter only retriever and WeaviateDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'weaviate_document_store', 'type': 'WeaviateDocumentStore', 'params': {}}, {'name': 'elasticsearch_filter_only_retriever', 'type': 'ElasticsearchFilterOnlyRetriever', 'params': {}}, {'name': 'transformers_reader', 'type': 'TransformersReader', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'elasticsearch_filter_only_retriever'}, {'inputs': ['elasticsearch_filter_only_retriever'], 'name': 'transformers_reader'}]}]}<end_of_text> |
<start_of_text>Make generative qa system consisting of RAGenerator, tfidf retriever and InMemoryDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'in_memory_document_store', 'type': 'InMemoryDocumentStore', 'params': {}}, {'name': 'tfidf_retriever', 'type': 'TfidfRetriever', 'params': {}}, {'name': 'ra_generator', 'type': 'RAGenerator', 'params': {}}], 'pipelines': [{'name': 'my_generator_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'tfidf_retriever'}, {'inputs': ['tfidf_retriever'], 'name': 'ra_generator'}]}]}<end_of_text> |
<start_of_text>Generate Haystack generative pipeline using seq2 seq generator, tfidf retriever and in memory document store<response>{'version': '1.6.0', 'components': [{'name': 'in_memory_document_store', 'type': 'InMemoryDocumentStore', 'params': {}}, {'name': 'tfidf_retriever', 'type': 'TfidfRetriever', 'params': {}}, {'name': 'seq2_seq_generator', 'type': 'Seq2SeqGenerator', 'params': {}}], 'pipelines': [{'name': 'my_generator_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'tfidf_retriever'}, {'inputs': ['tfidf_retriever'], 'name': 'seq2_seq_generator'}]}]}<end_of_text> |
<start_of_text>Generate QuestionGenerationPipeline<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Create Haystack QuestionGenerationPipeline<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Build Haystack SearchSummarizationPipeline consisting of transformers summarizer, EmbeddingRetriever and weaviate document store<response>{'version': '1.6.0', 'components': [{'name': 'weaviate_document_store', 'type': 'WeaviateDocumentStore', 'params': {}}, {'name': 'embedding_retriever', 'type': 'EmbeddingRetriever', 'params': {}}, {'name': 'transformers_summarizer', 'type': 'TransformersSummarizer', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'embedding_retriever'}, {'inputs': ['embedding_retriever'], 'name': 'transformers_summarizer'}]}]}<end_of_text> |
<start_of_text>Make Haystack faq search pipeline using ElasticsearchRetriever and sql document store<response>{'version': '1.6.0', 'components': [{'name': 'sql_document_store', 'type': 'SQLDocumentStore', 'params': {}}, {'name': 'elasticsearch_retriever', 'type': 'ElasticsearchRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'elasticsearch_retriever'}, {'inputs': ['elasticsearch_retriever']}]}]}<end_of_text> |
<start_of_text>Build Haystack search pipeline using dense passage retriever and WeaviateDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'weaviate_document_store', 'type': 'WeaviateDocumentStore', 'params': {}}, {'name': 'dense_passage_retriever', 'type': 'DensePassageRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'dense_passage_retriever'}, {'inputs': ['dense_passage_retriever']}]}]}<end_of_text> |
<start_of_text>Create SearchSummarizationPipeline with transformers summarizer, EmbeddingRetriever and faiss document store<response>{'version': '1.6.0', 'components': [{'name': 'faiss_document_store', 'type': 'FAISSDocumentStore', 'params': {}}, {'name': 'embedding_retriever', 'type': 'EmbeddingRetriever', 'params': {}}, {'name': 'transformers_summarizer', 'type': 'TransformersSummarizer', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'embedding_retriever'}, {'inputs': ['embedding_retriever'], 'name': 'transformers_summarizer'}]}]}<end_of_text> |
<start_of_text>Generate Haystack search summarization system using TransformersSummarizer, EmbeddingRetriever and SQLDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'sql_document_store', 'type': 'SQLDocumentStore', 'params': {}}, {'name': 'embedding_retriever', 'type': 'EmbeddingRetriever', 'params': {}}, {'name': 'transformers_summarizer', 'type': 'TransformersSummarizer', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'embedding_retriever'}, {'inputs': ['embedding_retriever'], 'name': 'transformers_summarizer'}]}]}<end_of_text> |
<start_of_text>Create faq pipeline consisting of elasticsearch retriever and in memory document store<response>{'version': '1.6.0', 'components': [{'name': 'in_memory_document_store', 'type': 'InMemoryDocumentStore', 'params': {}}, {'name': 'elasticsearch_retriever', 'type': 'ElasticsearchRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'elasticsearch_retriever'}, {'inputs': ['elasticsearch_retriever']}]}]}<end_of_text> |
<start_of_text>Create qa pipeline with TransformersReader, ElasticsearchFilterOnlyRetriever and elasticsearch document store<response>{'version': '1.6.0', 'components': [{'name': 'elasticsearch_document_store', 'type': 'ElasticsearchDocumentStore', 'params': {}}, {'name': 'elasticsearch_filter_only_retriever', 'type': 'ElasticsearchFilterOnlyRetriever', 'params': {}}, {'name': 'transformers_reader', 'type': 'TransformersReader', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'elasticsearch_filter_only_retriever'}, {'inputs': ['elasticsearch_filter_only_retriever'], 'name': 'transformers_reader'}]}]}<end_of_text> |
<start_of_text>Build QuestionGenerationPipeline<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Make Haystack generative pipeline consisting of Seq2SeqGenerator, BM25Retriever and PineconeDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'pinecone_document_store', 'type': 'PineconeDocumentStore', 'params': {}}, {'name': 'bm25_retriever', 'type': 'BM25Retriever', 'params': {}}, {'name': 'seq2_seq_generator', 'type': 'Seq2SeqGenerator', 'params': {}}], 'pipelines': [{'name': 'my_generator_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'bm25_retriever'}, {'inputs': ['bm25_retriever'], 'name': 'seq2_seq_generator'}]}]}<end_of_text> |
<start_of_text>Make Haystack search summarization using TransformersSummarizer, ElasticsearchFilterOnlyRetriever and OpenSearchDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'open_search_document_store', 'type': 'OpenSearchDocumentStore', 'params': {}}, {'name': 'elasticsearch_filter_only_retriever', 'type': 'ElasticsearchFilterOnlyRetriever', 'params': {}}, {'name': 'transformers_summarizer', 'type': 'TransformersSummarizer', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'elasticsearch_filter_only_retriever'}, {'inputs': ['elasticsearch_filter_only_retriever'], 'name': 'transformers_summarizer'}]}]}<end_of_text> |
<start_of_text>Generate FAQPipeline with TableTextRetriever and open distro elasticsearch document store<response>{'version': '1.6.0', 'components': [{'name': 'open_distro_elasticsearch_document_store', 'type': 'OpenDistroElasticsearchDocumentStore', 'params': {}}, {'name': 'table_text_retriever', 'type': 'TableTextRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'table_text_retriever'}, {'inputs': ['table_text_retriever']}]}]}<end_of_text> |
<start_of_text>Make Haystack question answer generation system consisting of TransformersReader and question generator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'transformers_reader', 'type': 'TransformersReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'transformers_reader'}]}]}<end_of_text> |
<start_of_text>Generate Haystack GenerativeQAPipeline with seq2 seq generator, tfidf retriever and DeepsetCloudDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'deepset_cloud_document_store', 'type': 'DeepsetCloudDocumentStore', 'params': {}}, {'name': 'tfidf_retriever', 'type': 'TfidfRetriever', 'params': {}}, {'name': 'seq2_seq_generator', 'type': 'Seq2SeqGenerator', 'params': {}}], 'pipelines': [{'name': 'my_generator_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'tfidf_retriever'}, {'inputs': ['tfidf_retriever'], 'name': 'seq2_seq_generator'}]}]}<end_of_text> |
<start_of_text>Build QuestionGenerationPipeline<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Generate Haystack document search pipeline with multihop embedding retriever and deepset cloud document store<response>{'version': '1.6.0', 'components': [{'name': 'deepset_cloud_document_store', 'type': 'DeepsetCloudDocumentStore', 'params': {}}, {'name': 'multihop_embedding_retriever', 'type': 'MultihopEmbeddingRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'multihop_embedding_retriever'}, {'inputs': ['multihop_embedding_retriever']}]}]}<end_of_text> |
<start_of_text>Make Haystack generative qa system using RAGenerator, ElasticsearchRetriever and pinecone document store<response>{'version': '1.6.0', 'components': [{'name': 'pinecone_document_store', 'type': 'PineconeDocumentStore', 'params': {}}, {'name': 'elasticsearch_retriever', 'type': 'ElasticsearchRetriever', 'params': {}}, {'name': 'ra_generator', 'type': 'RAGenerator', 'params': {}}], 'pipelines': [{'name': 'my_generator_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'elasticsearch_retriever'}, {'inputs': ['elasticsearch_retriever'], 'name': 'ra_generator'}]}]}<end_of_text> |
<start_of_text>Build Haystack GenerativeQAPipeline using Seq2SeqGenerator, TfidfRetriever and in memory document store<response>{'version': '1.6.0', 'components': [{'name': 'in_memory_document_store', 'type': 'InMemoryDocumentStore', 'params': {}}, {'name': 'tfidf_retriever', 'type': 'TfidfRetriever', 'params': {}}, {'name': 'seq2_seq_generator', 'type': 'Seq2SeqGenerator', 'params': {}}], 'pipelines': [{'name': 'my_generator_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'tfidf_retriever'}, {'inputs': ['tfidf_retriever'], 'name': 'seq2_seq_generator'}]}]}<end_of_text> |
<start_of_text>Make Haystack FAQPipeline with filter retriever and InMemoryDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'in_memory_document_store', 'type': 'InMemoryDocumentStore', 'params': {}}, {'name': 'filter_retriever', 'type': 'FilterRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'filter_retriever'}, {'inputs': ['filter_retriever']}]}]}<end_of_text> |
<start_of_text>Create Haystack QuestionAnswerGenerationPipeline using RCIReader and QuestionGenerator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'rci_reader', 'type': 'RCIReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'rci_reader'}]}]}<end_of_text> |
<start_of_text>Make Haystack QuestionGenerationPipeline<response>{'version': '1.6.0', 'components': [{'name': 'QuestionGenerator', 'params': {}, 'type': 'QuestionGenerator'}], 'pipelines': [{'name': 'query', 'nodes': [{'inputs': ['Query'], 'name': 'QuestionGenerator'}]}]}<end_of_text> |
<start_of_text>Create generative pipeline consisting of RAGenerator, bm25 retriever and ElasticsearchDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'elasticsearch_document_store', 'type': 'ElasticsearchDocumentStore', 'params': {}}, {'name': 'bm25_retriever', 'type': 'BM25Retriever', 'params': {}}, {'name': 'ra_generator', 'type': 'RAGenerator', 'params': {}}], 'pipelines': [{'name': 'my_generator_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'bm25_retriever'}, {'inputs': ['bm25_retriever'], 'name': 'ra_generator'}]}]}<end_of_text> |
<start_of_text>Build Haystack ExtractiveQAPipeline using rci reader, FilterRetriever and ElasticsearchDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'elasticsearch_document_store', 'type': 'ElasticsearchDocumentStore', 'params': {}}, {'name': 'filter_retriever', 'type': 'FilterRetriever', 'params': {}}, {'name': 'rci_reader', 'type': 'RCIReader', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'filter_retriever'}, {'inputs': ['filter_retriever'], 'name': 'rci_reader'}]}]}<end_of_text> |
<start_of_text>Make generative pipeline with ra generator, bm25 retriever and elasticsearch document store<response>{'version': '1.6.0', 'components': [{'name': 'elasticsearch_document_store', 'type': 'ElasticsearchDocumentStore', 'params': {}}, {'name': 'bm25_retriever', 'type': 'BM25Retriever', 'params': {}}, {'name': 'ra_generator', 'type': 'RAGenerator', 'params': {}}], 'pipelines': [{'name': 'my_generator_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'bm25_retriever'}, {'inputs': ['bm25_retriever'], 'name': 'ra_generator'}]}]}<end_of_text> |
<start_of_text>Create qa system with TransformersReader, ElasticsearchFilterOnlyRetriever and elasticsearch document store<response>{'version': '1.6.0', 'components': [{'name': 'elasticsearch_document_store', 'type': 'ElasticsearchDocumentStore', 'params': {}}, {'name': 'elasticsearch_filter_only_retriever', 'type': 'ElasticsearchFilterOnlyRetriever', 'params': {}}, {'name': 'transformers_reader', 'type': 'TransformersReader', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'elasticsearch_filter_only_retriever'}, {'inputs': ['elasticsearch_filter_only_retriever'], 'name': 'transformers_reader'}]}]}<end_of_text> |
<start_of_text>Generate faq search pipeline using filter retriever and elasticsearch document store<response>{'version': '1.6.0', 'components': [{'name': 'elasticsearch_document_store', 'type': 'ElasticsearchDocumentStore', 'params': {}}, {'name': 'filter_retriever', 'type': 'FilterRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'filter_retriever'}, {'inputs': ['filter_retriever']}]}]}<end_of_text> |
<start_of_text>Generate FAQPipeline with embedding retriever and OpenSearchDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'open_search_document_store', 'type': 'OpenSearchDocumentStore', 'params': {}}, {'name': 'embedding_retriever', 'type': 'EmbeddingRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'embedding_retriever'}, {'inputs': ['embedding_retriever']}]}]}<end_of_text> |
<start_of_text>Generate Haystack FAQPipeline using embedding retriever and open search document store<response>{'version': '1.6.0', 'components': [{'name': 'open_search_document_store', 'type': 'OpenSearchDocumentStore', 'params': {}}, {'name': 'embedding_retriever', 'type': 'EmbeddingRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'embedding_retriever'}, {'inputs': ['embedding_retriever']}]}]}<end_of_text> |
<start_of_text>Create Haystack document search system using TableTextRetriever and FAISSDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'faiss_document_store', 'type': 'FAISSDocumentStore', 'params': {}}, {'name': 'table_text_retriever', 'type': 'TableTextRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'table_text_retriever'}, {'inputs': ['table_text_retriever']}]}]}<end_of_text> |
<start_of_text>Generate extractive qa using FARMReader, ElasticsearchRetriever and OpenDistroElasticsearchDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'open_distro_elasticsearch_document_store', 'type': 'OpenDistroElasticsearchDocumentStore', 'params': {}}, {'name': 'elasticsearch_retriever', 'type': 'ElasticsearchRetriever', 'params': {}}, {'name': 'farm_reader', 'type': 'FARMReader', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'elasticsearch_retriever'}, {'inputs': ['elasticsearch_retriever'], 'name': 'farm_reader'}]}]}<end_of_text> |
<start_of_text>Create Haystack document search system using DensePassageRetriever and PineconeDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'pinecone_document_store', 'type': 'PineconeDocumentStore', 'params': {}}, {'name': 'dense_passage_retriever', 'type': 'DensePassageRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'dense_passage_retriever'}, {'inputs': ['dense_passage_retriever']}]}]}<end_of_text> |
<start_of_text>Generate Haystack DocumentSearchPipeline using filter retriever and ElasticsearchDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'elasticsearch_document_store', 'type': 'ElasticsearchDocumentStore', 'params': {}}, {'name': 'filter_retriever', 'type': 'FilterRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'filter_retriever'}, {'inputs': ['filter_retriever']}]}]}<end_of_text> |
<start_of_text>Build generative qa pipeline with seq2 seq generator, TableTextRetriever and faiss document store<response>{'version': '1.6.0', 'components': [{'name': 'faiss_document_store', 'type': 'FAISSDocumentStore', 'params': {}}, {'name': 'table_text_retriever', 'type': 'TableTextRetriever', 'params': {}}, {'name': 'seq2_seq_generator', 'type': 'Seq2SeqGenerator', 'params': {}}], 'pipelines': [{'name': 'my_generator_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'table_text_retriever'}, {'inputs': ['table_text_retriever'], 'name': 'seq2_seq_generator'}]}]}<end_of_text> |
<start_of_text>Build Haystack extractive qa with rci reader, FilterRetriever and in memory document store<response>{'version': '1.6.0', 'components': [{'name': 'in_memory_document_store', 'type': 'InMemoryDocumentStore', 'params': {}}, {'name': 'filter_retriever', 'type': 'FilterRetriever', 'params': {}}, {'name': 'rci_reader', 'type': 'RCIReader', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'filter_retriever'}, {'inputs': ['filter_retriever'], 'name': 'rci_reader'}]}]}<end_of_text> |
<start_of_text>Make Haystack generative qa pipeline with ra generator, table text retriever and WeaviateDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'weaviate_document_store', 'type': 'WeaviateDocumentStore', 'params': {}}, {'name': 'table_text_retriever', 'type': 'TableTextRetriever', 'params': {}}, {'name': 'ra_generator', 'type': 'RAGenerator', 'params': {}}], 'pipelines': [{'name': 'my_generator_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'table_text_retriever'}, {'inputs': ['table_text_retriever'], 'name': 'ra_generator'}]}]}<end_of_text> |
<start_of_text>Make Haystack search summarization system using TransformersSummarizer, table text retriever and OpenDistroElasticsearchDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'open_distro_elasticsearch_document_store', 'type': 'OpenDistroElasticsearchDocumentStore', 'params': {}}, {'name': 'table_text_retriever', 'type': 'TableTextRetriever', 'params': {}}, {'name': 'transformers_summarizer', 'type': 'TransformersSummarizer', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'table_text_retriever'}, {'inputs': ['table_text_retriever'], 'name': 'transformers_summarizer'}]}]}<end_of_text> |
<start_of_text>Generate QuestionAnswerGenerationPipeline consisting of rci reader and question generator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'rci_reader', 'type': 'RCIReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'rci_reader'}]}]}<end_of_text> |
<start_of_text>Make Haystack QuestionAnswerGenerationPipeline using farm reader and QuestionGenerator<response>{'version': '1.6.0', 'components': [{'name': 'question_generator', 'type': 'QuestionGenerator', 'params': {}}, {'name': 'farm_reader', 'type': 'FARMReader', 'params': {}}], 'pipelines': [{'name': 'my_question_answering_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'question_generator'}, {'inputs': ['question_generator'], 'name': 'farm_reader'}]}]}<end_of_text> |
<start_of_text>Generate Haystack ExtractiveQAPipeline with FARMReader, table text retriever and open search document store<response>{'version': '1.6.0', 'components': [{'name': 'open_search_document_store', 'type': 'OpenSearchDocumentStore', 'params': {}}, {'name': 'table_text_retriever', 'type': 'TableTextRetriever', 'params': {}}, {'name': 'farm_reader', 'type': 'FARMReader', 'params': {}}], 'pipelines': [{'name': 'my_query_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'table_text_retriever'}, {'inputs': ['table_text_retriever'], 'name': 'farm_reader'}]}]}<end_of_text> |
<start_of_text>Generate generative qa with Seq2SeqGenerator, tfidf retriever and FAISSDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'faiss_document_store', 'type': 'FAISSDocumentStore', 'params': {}}, {'name': 'tfidf_retriever', 'type': 'TfidfRetriever', 'params': {}}, {'name': 'seq2_seq_generator', 'type': 'Seq2SeqGenerator', 'params': {}}], 'pipelines': [{'name': 'my_generator_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'tfidf_retriever'}, {'inputs': ['tfidf_retriever'], 'name': 'seq2_seq_generator'}]}]}<end_of_text> |
<start_of_text>Build Haystack faq pipeline consisting of filter retriever and InMemoryDocumentStore<response>{'version': '1.6.0', 'components': [{'name': 'in_memory_document_store', 'type': 'InMemoryDocumentStore', 'params': {}}, {'name': 'filter_retriever', 'type': 'FilterRetriever', 'params': {}}], 'pipelines': [{'name': 'my_doc_search_pipeline', 'nodes': [{'inputs': ['Query'], 'name': 'filter_retriever'}, {'inputs': ['filter_retriever']}]}]}<end_of_text> |
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